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Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps?
INTRODUCTION: Biomarker progressions explain higher variability in cognitive decline than baseline values alone. This study examines progressions of established biomarkers along with a novel marker in a longitudinal cognitive decline. METHODS: A total of 215 subjects were used with a diagnosis of no...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4879487/ https://www.ncbi.nlm.nih.gov/pubmed/27239530 http://dx.doi.org/10.1016/j.dadm.2015.10.005 |
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author | Tarnanas, Ioannis Tsolaki, Anthoula Wiederhold, Mark Wiederhold, Brenda Tsolaki, Magda |
author_facet | Tarnanas, Ioannis Tsolaki, Anthoula Wiederhold, Mark Wiederhold, Brenda Tsolaki, Magda |
author_sort | Tarnanas, Ioannis |
collection | PubMed |
description | INTRODUCTION: Biomarker progressions explain higher variability in cognitive decline than baseline values alone. This study examines progressions of established biomarkers along with a novel marker in a longitudinal cognitive decline. METHODS: A total of 215 subjects were used with a diagnosis of normal, mild cognitive impairment (MCI) or Alzheimer's disease (AD) at baseline. We calculated standardized biomarker progression rates and used them as predictors of outcome within 5 years. RESULTS: Early cognitive declines were more strongly explained by fluorodeoxyglucose-positron emission tomography, precuneus and medial temporal cortical thickness, and the complex instrumental activities of daily living (iADL) marker progressions. Using Cox proportional hazards model, we found that these progressions were a significant risk factor for conversion from both MCI to AD (adjusted hazard ratio 1.45; 95% confidence interval 1.20–1.93; P = 1.23 × 10(−5)) and cognitively normal to MCI (adjusted hazard ratio 1.76; 95% confidence interval 1.32–2.34; P = 1.55 × 10(−5)). DISCUSSION: Compared with standard biological biomarkers, complex functional iADL markers could also provide predictive information for cognitive decline during the presymptomatic stage. This has important implications for clinical trials focusing on prevention in asymptomatic individuals. |
format | Online Article Text |
id | pubmed-4879487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-48794872016-05-27 Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps? Tarnanas, Ioannis Tsolaki, Anthoula Wiederhold, Mark Wiederhold, Brenda Tsolaki, Magda Alzheimers Dement (Amst) Cognitive & Behavioral Assessment INTRODUCTION: Biomarker progressions explain higher variability in cognitive decline than baseline values alone. This study examines progressions of established biomarkers along with a novel marker in a longitudinal cognitive decline. METHODS: A total of 215 subjects were used with a diagnosis of normal, mild cognitive impairment (MCI) or Alzheimer's disease (AD) at baseline. We calculated standardized biomarker progression rates and used them as predictors of outcome within 5 years. RESULTS: Early cognitive declines were more strongly explained by fluorodeoxyglucose-positron emission tomography, precuneus and medial temporal cortical thickness, and the complex instrumental activities of daily living (iADL) marker progressions. Using Cox proportional hazards model, we found that these progressions were a significant risk factor for conversion from both MCI to AD (adjusted hazard ratio 1.45; 95% confidence interval 1.20–1.93; P = 1.23 × 10(−5)) and cognitively normal to MCI (adjusted hazard ratio 1.76; 95% confidence interval 1.32–2.34; P = 1.55 × 10(−5)). DISCUSSION: Compared with standard biological biomarkers, complex functional iADL markers could also provide predictive information for cognitive decline during the presymptomatic stage. This has important implications for clinical trials focusing on prevention in asymptomatic individuals. Elsevier 2015-11-14 /pmc/articles/PMC4879487/ /pubmed/27239530 http://dx.doi.org/10.1016/j.dadm.2015.10.005 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Cognitive & Behavioral Assessment Tarnanas, Ioannis Tsolaki, Anthoula Wiederhold, Mark Wiederhold, Brenda Tsolaki, Magda Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps? |
title | Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps? |
title_full | Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps? |
title_fullStr | Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps? |
title_full_unstemmed | Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps? |
title_short | Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps? |
title_sort | five-year biomarker progression variability for alzheimer's disease dementia prediction: can a complex instrumental activities of daily living marker fill in the gaps? |
topic | Cognitive & Behavioral Assessment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4879487/ https://www.ncbi.nlm.nih.gov/pubmed/27239530 http://dx.doi.org/10.1016/j.dadm.2015.10.005 |
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